Files
Profa 1c9c5fef2c feat(learning): self-learning AQE fleet upgrade v2.2.0 (#118)
## Added
- Reinforcement learning algorithms: SARSA, Actor-Critic (A2C), PPO
- ExperienceSharingProtocol for P2P cross-agent learning
- LLM Provider abstraction: ClaudeProvider, RuvllmProvider, LLMProviderFactory
- Dependency injection system: DIContainer, AgentDependencies with withDI() mixin
- Distributed pattern library with quality scoring and replication

## Changed
- LearningEngine now integrates ExperienceSharingProtocol
- QLearning refactored to use AbstractRLLearner base
- Extended types with RLAlgorithmType and sharing configs

## Tests
- 21 ClaudeProvider tests
- 20 RuvllmProvider tests
- 27 LLMProviderFactory tests
- 36 ExperienceSharingProtocol tests
- 47 DIContainer tests
- 15 AgentDependencies tests
- Algorithm tests: SARSA, A2C, PPO, algorithm switching

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-06 16:59:17 +00:00
..
2025-09-30 19:59:56 +00:00
2025-09-30 19:59:56 +00:00
2025-09-30 19:59:56 +00:00
2025-09-30 19:59:56 +00:00

Agentic QE Test Suite

Comprehensive Test-Driven Development (TDD) test suite following London School TDD methodology for the Agentic Quality Engineering platform.

Test Architecture Overview

London School TDD Approach

This test suite follows the London School (Mockist) approach to TDD, which emphasizes:

  • Outside-In Development: Start with acceptance tests and work inward
  • Mock-Driven Development: Mock all dependencies to isolate units
  • Behavior Verification: Focus on how objects collaborate, not what they contain
  • Interaction Testing: Verify the conversations between objects
  • Contract Definition: Use mocks to define clear interfaces

Test Structure

tests/
├── unit/                    # Unit tests (London School TDD)
│   ├── fleet-manager.test.ts  # Fleet initialization & agent spawning
│   ├── test-generator.test.ts # AI test generation with mocks
│   ├── test-executor.test.ts  # Parallel execution scenarios
│   ├── coverage-analyzer.test.ts # O(log n) optimization
│   └── quality-gate.test.ts   # Decision tree logic
├── integration/           # Integration tests
│   └── agent-coordination.test.ts # Multi-agent communication
├── e2e/                   # End-to-end tests
│   └── cli.test.ts           # CLI commands & workflows
├── setup/                 # Test configuration
│   ├── jest.setup.ts         # Global Jest configuration
│   └── london-school.setup.ts # London School TDD utilities
├── __mocks__/             # Mock definitions
│   └── external-dependencies.ts # External service mocks
├── processors/            # Test result processors
│   └── london-school-processor.js # TDD compliance analysis
└── sequencers/            # Test execution order
    └── tdd-sequencer.js       # Optimal TDD test ordering

Test Categories

1. Unit Tests (London School TDD)

Philosophy: Mock all dependencies, focus on behavior verification

Fleet Manager Tests

  • Mock Strategy: Mock logger, metrics, agent factory
  • Focus Areas: Agent spawning coordination, resource allocation
  • Key Patterns: Collaboration verification, contract testing

Test Generator Tests

  • Mock Strategy: Mock code analyzer, AI service, file system
  • Focus Areas: AI-driven test creation, framework integration
  • Key Patterns: Behavior-driven generation, mock coordination

Test Executor Tests

  • Mock Strategy: Mock test runners, resource manager, result aggregator
  • Focus Areas: Parallel execution, failure handling, retry logic
  • Key Patterns: Interaction verification, collaboration testing

Coverage Analyzer Tests

  • Mock Strategy: Mock sublinear solver, coverage collector, metrics
  • Focus Areas: O(log n) optimization, temporal advantage
  • Key Patterns: Algorithm coordination, performance verification

Quality Gate Tests

  • Mock Strategy: Mock metrics collector, decision engine, policy engine
  • Focus Areas: Decision tree logic, policy evaluation
  • Key Patterns: Decision flow verification, rule engine testing

2. Integration Tests

Philosophy: Test real component interactions with mocked external services

Agent Coordination Tests

  • Integration Scope: Multi-agent communication patterns
  • Mock Strategy: Mock message bus, external APIs
  • Focus Areas: Hierarchical/mesh topologies, failure recovery
  • Key Patterns: Event-driven coordination, load balancing

3. End-to-End Tests

Philosophy: Test complete user workflows through CLI interface

CLI Tests

  • E2E Scope: Complete CLI command workflows
  • Mock Strategy: Mock external services only
  • Focus Areas: Fleet management, test generation, quality gates
  • Key Patterns: Command validation, workflow verification

London School TDD Patterns

1. Mock-First Development

// Define collaborator contracts through mocks
const mockRepository = {
  save: jest.fn().mockResolvedValue({ id: '123' }),
  findByEmail: jest.fn().mockResolvedValue(null)
};

const mockNotifier = {
  sendWelcome: jest.fn().mockResolvedValue(true)
};

2. Behavior Verification

// Focus on HOW objects collaborate
it('should coordinate user creation workflow', async () => {
  await userService.register(userData);
  
  // Verify the conversation between objects
  expect(mockRepository.findByEmail).toHaveBeenCalledWith(userData.email);
  expect(mockRepository.save).toHaveBeenCalledWith(
    expect.objectContaining({ email: userData.email })
  );
  expect(mockNotifier.sendWelcome).toHaveBeenCalledWith('123');
});

3. Contract Testing

// Define and verify contracts
const userServiceContract = {
  register: {
    input: { email: 'string', password: 'string' },
    output: { success: 'boolean', id: 'string' },
    collaborators: ['UserRepository', 'NotificationService']
  }
};

4. Interaction Patterns

// Test object conversations
it('should follow proper workflow interactions', () => {
  const service = new OrderService(mockPayment, mockInventory, mockShipping);
  
  service.processOrder(order);
  
  // Verify interaction sequence
  expect(mockInventory.reserve).toHaveBeenCalledBefore(mockPayment.charge);
  expect(mockPayment.charge).toHaveBeenCalledBefore(mockShipping.schedule);
});

Running Tests

All Tests

npm test

Unit Tests Only

npm run test:unit

Integration Tests Only

npm run test:integration

E2E Tests Only

npm run test:e2e

Watch Mode

npm run test:watch

Coverage Report

npm run test:coverage

London School TDD Analysis

npm run test:london-school

Test Configuration

Jest Configuration

  • Framework: Jest with TypeScript support
  • Test Environment: Node.js
  • Parallel Execution: Optimized for test type
  • Coverage Thresholds: 90% lines, 85% branches
  • Custom Sequencer: TDD-optimized execution order

London School Setup

  • Mock Utilities: Comprehensive mock creation helpers
  • Contract Testing: Interface verification tools
  • Interaction Verification: Collaboration pattern testing
  • Behavior Analysis: TDD compliance scoring

Mock Strategy

  • External Dependencies: Fully mocked (database, APIs, file system)
  • Internal Dependencies: Mocked at unit level, real at integration
  • Test Doubles: Dummies, fakes, stubs, spies, mocks

Coverage Requirements

Unit Tests

  • Line Coverage: ≥ 90%
  • Branch Coverage: ≥ 85%
  • Function Coverage: ≥ 90%
  • Statement Coverage: ≥ 90%

Integration Tests

  • Path Coverage: ≥ 80%
  • API Coverage: ≥ 95%
  • Error Path Coverage: ≥ 75%

E2E Tests

  • User Journey Coverage: ≥ 90%
  • CLI Command Coverage: ≥ 95%
  • Workflow Coverage: ≥ 85%

London School TDD Compliance

The test suite includes automated analysis of London School TDD compliance:

Scoring Criteria

  • Mock Usage (30%): Tests should mock all dependencies
  • Behavior Testing (25%): Focus on behavior, not state
  • Interaction Testing (25%): Verify object collaborations
  • Contract Testing (20%): Define clear interfaces
  • State Testing Penalty (-10%): Discourage excessive state testing

Compliance Levels

  • Excellent (≥ 80 points): Outstanding London School practices
  • Good (60-79 points): Solid practices, room for improvement
  • Needs Improvement (< 60 points): Focus on mock-driven development

Performance Optimization

Test Execution Order

  1. Unit Tests First: Fastest feedback loop
  2. Integration Tests Second: Medium execution time
  3. E2E Tests Last: Comprehensive but slowest

Parallel Execution

  • Unit Tests: Full parallelization
  • Integration Tests: Limited parallelization
  • E2E Tests: Sequential execution

Caching Strategy

  • Test Results: Cached for incremental runs
  • Mock Data: Reused across similar tests
  • Execution Times: Tracked for optimal ordering

Best Practices

London School TDD

  1. Mock All Dependencies: Create isolated unit tests
  2. Verify Interactions: Focus on object collaborations
  3. Define Contracts: Use mocks to specify interfaces
  4. Behavior Over State: Test what objects do, not what they are

Test Structure

  1. Arrange: Setup mocks and test data
  2. Act: Execute the system under test
  3. Assert: Verify interactions and behavior

Mock Management

  1. Clear Mocks: Reset between tests
  2. Verify Usage: Ensure all mocks are exercised
  3. Contract Compliance: Maintain interface consistency

Continuous Improvement

  1. Monitor Compliance: Track London School TDD scores
  2. Refactor Tests: Improve mock usage and behavior testing
  3. Update Contracts: Evolve interfaces based on real usage

Troubleshooting

Common Issues

Mock Not Called

// Problem: Mock expectation not met
expect(mockService.method).toHaveBeenCalled();

// Solution: Verify the interaction actually happens
expect(mockService.method).toHaveBeenCalledWith(expectedArgs);

State vs Behavior Testing

// Avoid: State testing
expect(service.property).toBe(expectedValue);

// Prefer: Behavior testing
expect(mockCollaborator.method).toHaveBeenCalledWith(expectedArgs);

Mock Coordination

// Ensure mocks are properly coordinated
beforeEach(() => {
  jest.clearAllMocks();
  setupMockCollaboration();
});

Debug Tools

  • Mock Inspector: Analyze mock call patterns
  • Interaction Tracer: Track object collaborations
  • TDD Compliance: Monitor London School adherence

Contributing

When adding new tests:

  1. Follow London School TDD: Mock dependencies, verify behavior
  2. Use Test Patterns: Leverage provided utilities and patterns
  3. Maintain Coverage: Ensure high test coverage
  4. Document Contracts: Clearly define mock interfaces
  5. Verify Compliance: Run TDD analysis to ensure quality

For questions or improvements, refer to the London School TDD guidelines and our team standards.